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MMLU / Statement 1| Density estimation (using say, the kernel density estimator) can be…

Problem

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question

Statement 1| Density estimation (using say, the kernel density estimator) can be used to perform classification. Statement 2| The correspondence between logistic regression and Gaussian Naive Bayes (with identity class covariances) means that there is a one-to-one correspondence between the parameters of the two classifiers.

choices

  1. True, True
  2. False, False
  3. True, False
  4. False, True

subject

machine_learning

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Source and history

task_id
dce19cb4-38ea-5841-8c6e-be911cae35a2
task_key
all--test--dce19cb4-38ea-5841-8c6e-be911cae35a2
task_revision_id
1
config / split
all / test

Official source

initial import